# dplyr

> R package

**Wikidata**: [Q104854189](https://www.wikidata.org/wiki/Q104854189)  
**Wikipedia**: [English](https://en.wikipedia.org/wiki/Dplyr)  
**Source**: https://4ort.xyz/entity/dplyr

## Summary
**dplyr** is an R package that provides a grammar of data manipulation, designed to make working with data frames in R more intuitive and efficient. It is part of the **tidyverse** ecosystem and was first released in January 2014. The package simplifies common data operations like filtering, grouping, and summarizing, making it a widely used tool for data analysis in R.

## Key Facts
- **Instance of**: R package, software
- **Programming language**: R
- **Part of**: tidyverse
- **First stable version**: 0.1 (released on January 17, 2014)
- **Latest version (as of source)**: 0.4.3 (released on September 1, 2015)
- **Website**: [dplyr.tidyverse.org](https://dplyr.tidyverse.org/)
- **Source code repository**: [GitHub](https://github.com/tidyverse/dplyr)
- **Logo**: [Dplyr hex logo](https://commons.wikimedia.org/wiki/Special:FilePath/Dplyr_hex_logo.svg)
- **CRAN project**: dplyr
- **Wikipedia title**: Dplyr (available in English and Chinese)

## FAQs
### Q: What is dplyr used for?
A: dplyr is primarily used for data manipulation in R, providing functions like `filter()`, `group_by()`, and `summarize()` to work with data frames efficiently.

### Q: Who developed dplyr?
A: dplyr was developed as part of the tidyverse ecosystem, which includes contributions from multiple developers, including Hadley Wickham.

### Q: Is dplyr still actively maintained?
A: The source material indicates that the latest version (0.4.3) was released in September 2015, suggesting it may no longer be actively maintained.

### Q: How does dplyr differ from base R data manipulation?
A: dplyr provides a more intuitive and consistent syntax for common data operations, making it easier to read and write compared to base R functions like `subset()` or `aggregate()`.

### Q: Can dplyr work with databases?
A: While the source material does not explicitly mention database integration, dplyr is part of the tidyverse, which includes tools like `dbplyr` for database operations.

## Why It Matters
dplyr revolutionized data manipulation in R by introducing a consistent and intuitive syntax for common operations like filtering, grouping, and summarizing. It simplified the process of working with data frames, making it more accessible to users and reducing the complexity of data analysis workflows. By providing a grammar of data manipulation, dplyr helped standardize how data is processed in R, improving readability and efficiency. Its inclusion in the tidyverse ecosystem further solidified its role as a foundational tool for data science in R. However, its development appears to have slowed, with the last major release occurring in 2015.

## Notable For
- **First stable release**: January 17, 2014 (version 0.1)
- **Tidyverse integration**: Part of the broader tidyverse ecosystem, which includes other popular R packages like ggplot2 and tidyr.
- **Grammar of data manipulation**: Introduced a consistent syntax for common data operations, improving code readability.
- **Widely adopted**: Became a standard tool for data analysis in R, influencing how data manipulation is approached in the R community.
- **Logo design**: Features a distinctive hexagon logo, part of the RStudio hex sticker collection.

## Body
### Overview
dplyr is an R package designed to simplify data manipulation tasks, such as filtering, grouping, and summarizing data frames. It was created as part of the tidyverse ecosystem, which aims to provide a cohesive set of tools for data science in R.

### Development and Release
- **First stable version**: 0.1, released on January 17, 2014.
- **Latest version (as of source)**: 0.4.3, released on September 1, 2015.
- **Development timeline**: The package underwent several updates in its early stages, with versions 0.1 through 0.4.3 released between 2014 and 2015.

### Technical Details
- **Programming language**: R
- **Part of**: tidyverse
- **Website**: [dplyr.tidyverse.org](https://dplyr.tidyverse.org/)
- **Source code**: Hosted on GitHub at [github.com/tidyverse/dplyr](https://github.com/tidyverse/dplyr)
- **Logo**: The official logo is a hexagon with the dplyr name, available on Wikimedia Commons.

### Usage and Impact
- **Primary use**: Data manipulation, including filtering, grouping, and summarizing data frames.
- **Tidyverse integration**: dplyr is part of the tidyverse, a collection of R packages designed to work together seamlessly.
- **Syntax**: Provides a consistent and intuitive syntax for common data operations, making it easier to read and write compared to base R functions.

### Maintenance and Availability
- **CRAN project**: dplyr is available on the Comprehensive R Archive Network (CRAN) under the project name "dplyr."
- **Wikipedia presence**: The package has a Wikipedia page titled "Dplyr," available in English and Chinese.
- **Stack Exchange tag**: Users can find discussions and questions related to dplyr on Stack Overflow under the tag [dplyr](https://stackoverflow.com/tags/dplyr).

### Related Projects
- **Tidyverse**: The broader ecosystem that includes dplyr, with other packages like ggplot2 and tidyr.
- **dbplyr**: Part of the tidyverse, dbplyr allows for database operations using dplyr-like syntax.

## References

1. [Source](https://github.com/rstudio/hex-stickers/blob/main/SVG/dplyr.svg)
2. [Release 0.1. 2014](https://github.com/tidyverse/dplyr/releases/tag/v0.1)
3. [Release 0.1.1. 2014](https://github.com/tidyverse/dplyr/releases/tag/v0.1.1)
4. [Release 0.1.2. 2014](https://github.com/tidyverse/dplyr/releases/tag/v0.1.2)
5. [Release 0.1.3. 2014](https://github.com/tidyverse/dplyr/releases/tag/v0.1.3)
6. [Release 0.3. 2014](https://github.com/tidyverse/dplyr/releases/tag/v0.3)
7. [Release 0.3.0.1. 2014](https://github.com/tidyverse/dplyr/releases/tag/v0.3.0.1)
8. [Release 0.4.0. 2015](https://github.com/tidyverse/dplyr/releases/tag/v0.4.0)
9. [Release 0.4.1. 2015](https://github.com/tidyverse/dplyr/releases/tag/v0.4.1)
10. [Release 0.4.2. 2015](https://github.com/tidyverse/dplyr/releases/tag/v0.4.2)
11. [Release 0.4.3. 2015](https://github.com/tidyverse/dplyr/releases/tag/v0.4.3)
12. [Release 0.5.0. 2016](https://github.com/tidyverse/dplyr/releases/tag/v0.5.0)
13. [Release 0.7.0. 2017](https://github.com/tidyverse/dplyr/releases/tag/v0.7.0)
14. [Release 0.7.1. 2017](https://github.com/tidyverse/dplyr/releases/tag/v0.7.1)
15. [Release 0.7.2. 2017](https://github.com/tidyverse/dplyr/releases/tag/v0.7.2)
16. [Release 0.7.3. 2017](https://github.com/tidyverse/dplyr/releases/tag/v0.7.3)
17. [Release 0.7.4. 2017](https://github.com/tidyverse/dplyr/releases/tag/v0.7.4)
18. [Release 0.7.5. 2018](https://github.com/tidyverse/dplyr/releases/tag/v0.7.5)
19. [Release 0.7.6. 2018](https://github.com/tidyverse/dplyr/releases/tag/v0.7.6)
20. [Release 0.8.0. 2019](https://github.com/tidyverse/dplyr/releases/tag/v0.8.0)
21. [Release 0.8.0.1. 2019](https://github.com/tidyverse/dplyr/releases/tag/v0.8.0.1)
22. [Release 0.8.1. 2019](https://github.com/tidyverse/dplyr/releases/tag/v0.8.1)
23. [Release 0.8.2. 2019](https://github.com/tidyverse/dplyr/releases/tag/v0.8.2)
24. [Release 0.8.3. 2019](https://github.com/tidyverse/dplyr/releases/tag/v0.8.3)
25. [Release 0.8.4. 2020](https://github.com/tidyverse/dplyr/releases/tag/v0.8.4)
26. [Release 0.8.5. 2020](https://github.com/tidyverse/dplyr/releases/tag/v0.8.5)
27. [Release 1.0.0. 2020](https://github.com/tidyverse/dplyr/releases/tag/v1.0.0)
28. [Release 1.0.1. 2020](https://github.com/tidyverse/dplyr/releases/tag/v1.0.1)
29. [Release 1.0.2. 2020](https://github.com/tidyverse/dplyr/releases/tag/v1.0.2)
30. [Release 1.0.3. 2021](https://github.com/tidyverse/dplyr/releases/tag/v1.0.3)
31. [Release 1.0.4. 2021](https://github.com/tidyverse/dplyr/releases/tag/v1.0.4)
32. [Release 1.0.5. 2021](https://github.com/tidyverse/dplyr/releases/tag/v1.0.5)
33. [Release 1.0.6. 2021](https://github.com/tidyverse/dplyr/releases/tag/v1.0.6)
34. [Release 1.0.7. 2021](https://github.com/tidyverse/dplyr/releases/tag/v1.0.7)
35. [Release 1.0.8. 2022](https://github.com/tidyverse/dplyr/releases/tag/v1.0.8)
36. [Release 1.0.9. 2022](https://github.com/tidyverse/dplyr/releases/tag/v1.0.9)
37. [Release 1.0.10. 2022](https://github.com/tidyverse/dplyr/releases/tag/v1.0.10)
38. [Release 1.1.0. 2023](https://github.com/tidyverse/dplyr/releases/tag/v1.1.0)
39. [Release 1.1.1. 2023](https://github.com/tidyverse/dplyr/releases/tag/v1.1.1)
40. [Release 1.1.2. 2023](https://github.com/tidyverse/dplyr/releases/tag/v1.1.2)
41. [Release 1.1.3. 2023](https://github.com/tidyverse/dplyr/releases/tag/v1.1.3)
42. [Release 1.1.4. 2023](https://github.com/tidyverse/dplyr/releases/tag/v1.1.4)
43. [Release 1.2.0. 2026](https://github.com/tidyverse/dplyr/releases/tag/v1.2.0)
44. [Release 1.2.1. 2026](https://github.com/tidyverse/dplyr/releases/tag/v1.2.1)
45. [Source](https://api.github.com/repos/tidyverse/dplyr)
46. [dplyr · GitHub Topics · GitHub](https://github.com/topics/dplyr)